Making advanced AI tools accessible to sports practitioners (PhD scholarship)

Queensland University of Technology, Australia

Updated: about 2 months ago
Location: Brisbane, QUEENSLAND
Deadline: 30 May 2025

Application dates
Applications close
30 May 2025

What you'll receive
  • You'll receive a stipend of $41,600 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD.  The duration includes an extension of up to six months (PhD). This is the full-time, tax exempt rate which will index annually.
  • You will receive a tuition fee offset/sponsorship, covering the cost of your tuition fees for the first four full-time equivalent years of your doctoral studies.
  • As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field.
  • PhD students will receive $20,840 in allowances (training, travel, thesis).

Eligibility
  • You need to meet the entry requirements for a QUT Doctor of Philosophy , including any English language requirements.
  • Enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained).
  • You must be an Australian or New Zealand citizen, Australian permanent resident, or a person entitled to stay in Australia, or enter and stay in Australia, without any limitation as to time.

How to apply

If you are (will be) a graduate (recently or otherwise) from any discipline, complete an expression of interest (EOI).  The steps are:

  • Complete the EOI available at Next Generation Graduates Program (NGGP): Sports Data Science & AI - Centre for Data Science (qut.edu.au)
  • Peruse the projects on offer at Next Generation Graduates Program (NGGP): Our Projects - Centre for Data Science (qut.edu.au) .  Those that have already been awarded have a student name listed against them.
  • Email your top three project preferences, along with your CV and academic record, to admin.sportsdata@qut.edu.au .  We will be in touch with next steps.

    • About the scholarship
    Themes

    AI for holistic athlete performance and wellbeing / Data driven technological innovations for health and performance


    Sports research objective/question

    Understand how practitioners (sports scientist, bio-mechanists, etc) use computer vision/machine learning to quantity athlete performance.

    • Develop new computer vision/machine learning methods to enable measurement of sports performance.
    • Research program would make use of AIS's existing cloud-based 'pipelines' product, which allows sporting practitioners to develop computer vision (CV) applications in a no-code environment.